PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

X-ray Image Categorization and Retrieval Using Patch-based Visual Words Representation
Uri Avni, Hayit Greenspan, Michal Sharon, Eli Konen and Jacob Goldberger
In: International Symposium on Biomedical Imaging (ISBI), 2009, 3-6 July 2009, Boston, USA.


We present an efficient image categorization and retrieval system applied to medical image databases, in particular large radiograph archives. The methodology presented is based on local patch representation of the image content and a bag-of-features approach for defining image categories, with a kernel based SVM classifier. In a recent international competition the system was ranked as one of the top schemes in discriminating orientation and body regions in x-ray images, and in medical visual retrieval. A detailed description of the method (not previously published) is presented, along with its most recent results. In addition to organ-level discrimination, we show initial results of pathology-level categorization of chest x-ray data. We view this as a first step towards similarity-based categorization with clinical importance in computer-assisted diagnostics.

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EPrint Type:Conference or Workshop Item (Oral)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
Information Retrieval & Textual Information Access
ID Code:6197
Deposited By:Jacob Goldberger
Deposited On:08 March 2010